Existing work addresses the above challenges by assuming complete visibility through a multi-view setting [1]}, [2]},
or by recovering only the observable surface rather than the complete shape of an object [3]}, or by ignoring rigid object motion and recovering only the articulation [4]}, or by building shape templates or priors specific to a particular object category like humans [5]}. However, these assumptions also limit applicability of models to unconstrained videos in the wild, where these challenges are either infeasible or only met when taking special care during a video capture.
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